DocumentCode :
1134369
Title :
Recognition of Waveforms Using Autoregressive Feature Extraction
Author :
Tjøstheim, D.
Author_Institution :
NTNF/NORSAR
Issue :
3
fYear :
1977
fDate :
3/1/1977 12:00:00 AM
Firstpage :
268
Lastpage :
270
Abstract :
It is proposed that the autoregressive coefficients (as computed from the estimated autocorrelation function) in an autoregressive spectral estimation scheme may be used for feature extraction purposes. An example is presented where such extractors are used to describe seismic wave traces originating from shallow earthquakes and underground nuclear explosions.
Keywords :
Autoregressive coefficients, autoregressive spectral estimation, maximum entropy, seismic discrimination.; Autocorrelation; Data mining; Earthquakes; Entropy; Explosions; Feature extraction; Pattern recognition; Seismic waves; Speech analysis; Speech synthesis; Autoregressive coefficients, autoregressive spectral estimation, maximum entropy, seismic discrimination.;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.1977.1674816
Filename :
1674816
Link To Document :
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